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用于前列腺癌检测的糖蛋白质组学:血清前列腺特异性抗原糖基化模式的变化

Glycoproteomics for prostate cancer detection: changes in serum PSA glycosylation patterns.

作者信息

Meany Danni L, Zhang Zhen, Sokoll Lori J, Zhang Hui, Chan Daniel W

机构信息

Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21231, USA.

出版信息

J Proteome Res. 2009 Feb;8(2):613-9. doi: 10.1021/pr8007539.

Abstract

Currently, serum prostate-specific antigen (PSA) is used for the early detection of prostate cancer despite its low specificity in the range of 4-10 ng/mL. Because aberrant glycosylation is a fundamental characteristic of tumor genesis, the objective of this study was to investigate whether changes in PSA glycosylation may be used to improve the cancer specificity of PSA. We developed five lectin immunosorbant assays to analyze the glycosylation patterns of PSA in serum. Each assay sandwiches serum PSA between a PSA monoclonal antibody and a biotinylated lectin and then tags the biotin complex using a streptavidin SULFO TAG for electrochemiluminescence detection. Low limits of detection (0.04-1.35 ng/mL), good reproducibility (%CVs < 10%), and direct analysis of PSA glycosylation in sera suggest these assays may have a potential role in improving PSA's cancer specificity. Clinical performance was evaluated in 52 human subjects (26 cancer and 26 noncancer). ROC analysis showed that the total SNA assay (AUC = 0.71) appeared to perform better than percent free PSA (AUC = 0.54) in its diagnostic gray zone between 10 and 20% in a subset of 21 subjects. A separate study of 16 additional subjects showed similar findings.

摘要

目前,血清前列腺特异性抗原(PSA)用于前列腺癌的早期检测,尽管其在4-10 ng/mL范围内特异性较低。由于异常糖基化是肿瘤发生的基本特征,本研究的目的是调查PSA糖基化的变化是否可用于提高PSA对癌症的特异性。我们开发了五种凝集素免疫吸附测定法来分析血清中PSA的糖基化模式。每种测定法将血清PSA夹在PSA单克隆抗体和生物素化凝集素之间,然后使用链霉亲和素SULFO TAG标记生物素复合物以进行电化学发光检测。低检测限(0.04-1.35 ng/mL)、良好的重现性(%CVs<10%)以及对血清中PSA糖基化的直接分析表明,这些测定法可能在提高PSA对癌症的特异性方面具有潜在作用。在52名人类受试者(26名癌症患者和26名非癌症患者)中评估了临床性能。ROC分析表明,在21名受试者的一个子集中,总SNA测定法(AUC = 0.71)在其10%至20%的诊断灰色区域似乎比游离PSA百分比(AUC = 0.54)表现更好。对另外16名受试者的单独研究也显示了类似的结果。

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